Track quantifiable return on learning investment through business efficiencies, productivity and cost-savings.
Advanced Data Fellowship Top Up
Build a strong data infrastructure and data strategy, by empowering data teams with advanced technical and programming skills.
Key info
Level 6 Degree apprenticeship
BSC (Hons) Digital and Technology Solutions (Data Analytics)
Fully funded by the Levy.
Duration
2 years, plus 1 month assessment
Entry requirements
- Right to work in the UK
- Lived in the UK or EEA continuously for the past 3 years
- Not previously studied the course content
- Not undertaking any other qualification during apprenticeship
- Able to apply learning to role
Fully-funded
Eligible for full Levy funding
Course overview
Provide your data analysts with degree-level skills in designing data storage solutions, utilising machine learning and other tools to drive efficiency, and automating data flows.
Skills gained
Python
Machine learning
Data strategy and governance
Data infrastructure
Business outcomes
Increase efficiencies and drive cost savings
Enable teams to design, develop and integrate technological software and data storage solutions to deliver against business needs.
Power data-driven decision making
Help teams leverage advanced applied statistics and machine learning algorithms to provide actionable insights.
Support digital and data transformation initiatives
Build highly strategic data teams, who can ensure data strategy is developed in line with business strategy and objectives.
Curriculum
Data engineering
Months 1-3
Creating efficient and secure data infrastructure
- Design simple data solutions
- Considerations of networking and security in storage and flow of data
- Evaluate data storage solutions, including SQL and NoSQL
- Save costs through additional efficiency and security
Months 4-6
Accelerating data solutions with DevOps principles
- Deepen understanding of a software system frequently used
- Create software
- Deploy software
- Use software to add efficiency to data analysis or processing
Months 7-9
Driving business value with data engineering
- Design and implement data solutions
- Role of data storage in automation and analytics
- Design a data engineering solution
- Use solution to enable decision-making and quality analytics
Data strategy
Months 10-12
Advancing your data strategy and governance
- Align data projects and technology to strategic goals
- Understanding governance for data strategy and analytics
- How technology can more efficiently and effectively drive business value
Data strategy
Months 1-3
Managing data transformation projects
- Plan a project
- Refine your approach to managing risk, stakeholders and budgets
- Refine your communication skills
- Gaining buy-in to kick off and independently lead on value-add projects
Data science
Months 4-6
Enhancing decision making with statistics
- Design an experiment
- Test a hypothesis
- Effectively communicate results
- Communication and visualisation techniques
- Insight for more robust decision-making and risk mitigation
Months 7-9
Leveraging machine learning to improve efficiency
- Find a problem that machine learning could solve
- Develop your knowledge of machine learning methodology and algorithms
- Train a machine learning model
- Produce insight at larger scales, handling big data for more efficient and effective decision-making
Capstone project
Months 10-12
Capstone project
- Produce a work-based portfolio combining prior learning
- Create (or significantly improve) a data product and write it up throughout these final 3 months
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Weekly delivery model
Structured learning
~ 5-6 hours
65%
Asynchronous learning
Online, self-paced content that sets the foundation of skills for the module
Group learning
Live, instructor-led, interactive learning that dives deeper and reinforces the asynchronous content
Coach and peer support
Includes tutoring, progress reviews, & other individual/group/peer support
Applying learning in role
~ 2-3 hours
35%
Work-based tasks
Structured tasks to provide the opportunity to apply learnings in real work context
Independent applied learning
Application of learning to apprentices’ existing day to day activities
Approx
7-8
hours per week
Why our approach works
Measurable Impact
Applied learning
We deliver project-based learning in a real-world context, personalised to each learner, to drive deep skill retention.
Guided by experts
Learners receive 1-to-1 coaching from industry experts, regular group coaching and community collaboration.
Transform careers
Everyone in your team has future-focused potential and deserves equitable access to economic opportunity.
Data really helped us bring a missing piece of the puzzle into a customer partnership and grow that investment 56% year-over-year, as we were activating different parts of what we do to better serve their needs.
Read the case study
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